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kijai 2025-11-18 21:45:24 +02:00 committed by comfyanonymous
parent fb4739f2f5
commit fcd3a00d91
2 changed files with 3 additions and 3 deletions
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2
comfy/model_base.py
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@ -1596,7 +1596,7 @@ class HunyuanVideo15(HunyuanVideo):
out['clip_fea'] = comfy.conds.CONDRegular(clip_vision_output.last_hidden_state) out['clip_fea'] = comfy.conds.CONDRegular(clip_vision_output.last_hidden_state)
return out return out
class HunyuanVideo15_SR_Distilled(HunyuanImage21Refiner): class HunyuanVideo15_SR_Distilled(HunyuanImage21Refiner):
def __init__(self, model_config, model_type=ModelType.FLOW, device=None): def __init__(self, model_config, model_type=ModelType.FLOW, device=None):
super().__init__(model_config, model_type, device=device) super().__init__(model_config, model_type, device=device)

4
comfy_extras/nodes_hunyuan.py
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@ -159,13 +159,13 @@ class HunyuanVideo15RefinerLatent(io.ComfyNode):
encoded = vae.encode(start_image[:, :, :, :3]) encoded = vae.encode(start_image[:, :, :, :3])
cond_latent[:, :in_channels, :encoded.shape[2], :, :] = encoded cond_latent[:, :in_channels, :encoded.shape[2], :, :] = encoded
cond_latent[:, in_channels + 1, 0] = 1 cond_latent[:, in_channels + 1, 0] = 1
positive = node_helpers.conditioning_set_values(positive, {"concat_latent_image": cond_latent, "noise_augmentation": noise_augmentation}) positive = node_helpers.conditioning_set_values(positive, {"concat_latent_image": cond_latent, "noise_augmentation": noise_augmentation})
negative = node_helpers.conditioning_set_values(negative, {"concat_latent_image": cond_latent, "noise_augmentation": noise_augmentation}) negative = node_helpers.conditioning_set_values(negative, {"concat_latent_image": cond_latent, "noise_augmentation": noise_augmentation})
if clip_vision_output is not None: if clip_vision_output is not None:
positive = node_helpers.conditioning_set_values(positive, {"clip_vision_output": clip_vision_output}) positive = node_helpers.conditioning_set_values(positive, {"clip_vision_output": clip_vision_output})
negative = node_helpers.conditioning_set_values(negative, {"clip_vision_output": clip_vision_output}) negative = node_helpers.conditioning_set_values(negative, {"clip_vision_output": clip_vision_output})
return io.NodeOutput(positive, negative, latent) return io.NodeOutput(positive, negative, latent)